Thad B. Stanton

54 papers receiving 3.0k citations

Thad B. Stanton's Hit Papers

In-feed antibiotic effects on the swine intestinal microbiome 2012 · 836 citations
8360+4+9Years since publication250500750

Peers

Thad B. Stanton
Comparison fields: 5 of 111
  • Small Animals 1.2k
  • Molecular Medicine 295
  • Parasitology 349
  • Pollution 491
  • Microbiology 189
Replace David P. Alt with:
David P. Alt United States
Andréa Micke Moreno Brazil
Darrell O. Bayles United States
Mette Boyé Denmark
Paul Whyte Ireland
Marja‐Liisa Hänninen Finland
G. Douglas Inglis Canada
Sylvain Quessy Canada
Günter Klein Germany
Michael E. Hume United States
Thad B. Stanton relative to David P. Alt United States David P. Alt's profile →
Citations per field
00.5×1.5×
David P. Alt · 1×
Citations per year

Countries citing papers authored by Thad B. Stanton

Since Specialization
Citations

This map shows the geographic impact of Thad B. Stanton's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thad B. Stanton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thad B. Stanton more than expected).

Fields of papers citing papers by Thad B. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thad B. Stanton. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thad B. Stanton. The network helps show where Thad B. Stanton may publish in the future.

Co-authors

The 25 scholars most cited alongside Thad B. Stanton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thad B. Stanton Line = papers co-authored together Thad B. Stanton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In-feed antibiotic effects on the swine intestinal microbiome
Hit paper breakdown →
2012836
2 1991231
3 1996202
4 1980154
5 199796
6 199794
7 199287
8 199182
9 199779
10 199975
11 201272
12 199870
13 201369
14 201460
15 200758
16
Intestinal spirochaetes in domestic animals and humans
199755
17 197954
18 199354
19 200550
20 199643

About Thad B. Stanton

Thad B. Stanton is a scholar working on Small Animals, Molecular Biology, Parasitology, Epidemiology and Immunology, having authored 55 papers that have together received 3.1k indexed citations. Recurring topics across this work include Veterinary medicine and infectious diseases (27 papers), Parasitic Infections and Diagnostics (11 papers), Bacteriophages and microbial interactions (6 papers), Gut microbiota and health (6 papers), Mycobacterium research and diagnosis (6 papers), Microbial infections and disease research (5 papers), Probiotics and Fermented Foods (5 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). The work is most often cited by research in Small Animals (1.2k citations), Molecular Medicine (295 citations), Parasitology (349 citations), Pollution (491 citations) and Microbiology (189 citations). Thad B. Stanton has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Neil S. Jensen, Heather K. Allen, D.J. Hampson, Torey Looft, E. Canale‐Parola, David P. Alt, Darren J. Trott, Darrell O. Bayles, Timothy A. Johnson and James R. Cole. Their work appears in journals such as Applied and Environmental Microbiology, Veterinary Microbiology, Journal of Bacteriology, Infection and Immunity and Journal of Clinical Microbiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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